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Ata Kabán
Ata Kaban
2010 – today
- 2013
[j24]Jakramate Bootkrajang, Ata Kabán: Classification of mislabelled microarrays using robust sparse logistic regression. Bioinformatics 29(7): 870-877 (2013)- [j23]Ata Kaban: Fractional Norm Regularization: Learning With Very Few Relevant Features. IEEE Trans. Neural Netw. Learning Syst. 24(6): 953-963 (2013)
- 2012
- [j22]Ata Kabán, Sakinah Ali Pitchay: Single-frame image recovery using a Pearson type VII MRF. Neurocomputing 80: 111-118 (2012)
- [j21]Robert J. Durrant, Ata Kabán: Error bounds for Kernel Fisher Linear Discriminant in Gaussian Hilbert space. Journal of Machine Learning Research - Proceedings Track 22: 337-345 (2012)
- [j20]Robert John Durrant, Ata Kabán: A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces. Pattern Recognition Letters 33(7): 911-919 (2012)
- [j19]Ata Kabán: Non-parametric detection of meaningless distances in high dimensional data. Statistics and Computing 22(1): 375-385 (2012)
- [j18]Ata Kabán: Non-parametric detection of meaningless distances in high dimensional data. Statistics and Computing 22(2): 375-385 (2012)
- [c30]Heyam AlBaity, Souham Meshoul, Ata Kaban: On extending quantum behaved particle swarm optimization to multiobjective context. IEEE Congress on Evolutionary Computation 2012: 1-8
- [c29]Heyam AlBaity, Souham Meshoul, Ata Kaban: Constrained Multi-objective Optimization Using a Quantum Behaved Particle Swarm. ICONIP (3) 2012: 456-464
- [c28]Sakinah Ali Pitchay, Ata Kabán: Multi-task signal recovery by higher level hyper-parameter sharing. ICPR 2012: 2246-2249
- [c27]Sakinah Ali Pitchay, Ata Kabán: Single-frame Signal Recovery using a Similarity-prior based on Pearson Type VII MRF. ICPRAM (1) 2012: 123-133
- [c26]Jakramate Bootkrajang, Ata Kabán: Label-Noise Robust Logistic Regression and Its Applications. ECML/PKDD (1) 2012: 143-158
- 2011
- [j17]Ata Kabán: On the distance concentration awareness of certain data reduction techniques. Pattern Recognition 44(2): 265-277 (2011)
- [c25]Jakramate Bootkrajang, Ata Kaban: Multi-class classification in the presence of labelling errors. ESANN 2011
- 2010
- [j16]Jianyong Sun, Ata Kabán, Jonathan M. Garibaldi: Robust mixture clustering using Pearson type VII distribution. Pattern Recognition Letters 31(16): 2447-2454 (2010)
- [j15]Jianyong Sun, Ata Kabán: A fast algorithm for robust mixtures in the presence of measurement errors. IEEE Transactions on Neural Networks 21(8): 1206-1220 (2010)
- [c24]Robert J. Durrant, Ata Kabán: A Bound on the Performance of LDA in Randomly Projected Data Spaces. ICPR 2010: 4044-4047
- [c23]Jianyong Sun, Ata Kaban, Jonathan M. Garibaldi: Robust mixture modeling using the Pearson type VII distribution. IJCNN 2010: 1-7
- [c22]Robert J. Durrant, Ata Kaban: Compressed fisher linear discriminant analysis: classification of randomly projected data. KDD 2010: 1119-1128
2000 – 2009
- 2009
- [j14]Robert J. Durrant, Ata Kabán: When is 'nearest neighbour' meaningful: A converse theorem and implications. J. Complexity 25(4): 385-397 (2009)
- [j13]Ella Bingham, Ata Kabán, Mikael Fortelius: The aspect Bernoulli model: multiple causes of presences and absences. Pattern Anal. Appl. 12(1): 55-78 (2009)
- 2008
- [j12]Xin Wang, Ata Kabán: A dynamic bibliometric model for identifying online communities. Data Min. Knowl. Discov. 16(1): 67-107 (2008)
- [j11]Ata Kabán, Ella Bingham: Factorisation and denoising of 0-1 data: A variational approach. Neurocomputing 71(10-12): 2291-2308 (2008)
- [c21]Ata Kabán: A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. Discovery Science 2008: 332-343
- [c20]Ata Kabán, Robert J. Durrant: Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features. ECML/PKDD (1) 2008: 580-596
- 2007
- [j10]Ata Kabán: Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. Machine Learning 68(1): 63-95 (2007)
- [j9]Ata Kabán: On Bayesian classification with Laplace priors. Pattern Recognition Letters 28(10): 1271-1282 (2007)
- [j8]Markus Harva, Ata Kabán: Variational learning for rectified factor analysis. Signal Processing 87(3): 509-527 (2007)
- [c19]Jianyong Sun, Ata Kabán, Somak Raychaudhury: Robust mixtures in the presence of measurement errors. ICML 2007: 847-854
- [c18]Jianyong Sun, Ata Kabán, Somak Raychaudhury: Robust Visual Mining of Data with Error Information. PKDD 2007: 573-580
- 2006
- [c17]Ata Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan: On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. Discovery Science 2006: 125-136
- [c16]Xin Wang, Ata Kabán: Model-Based Estimation of Word Saliency in Text. Discovery Science 2006: 279-290
- [c15]
- [c14]
- [c13]Xin Wang, Ata Kabán: State Aggregation in Higher Order Markov Chains for Finding Online Communities. IDEAL 2006: 1023-1030
- 2005
- [j7]Mark Girolami, Ata Kabán: Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10(3): 175-196 (2005)
- [j6]Ian T. Nabney, Yi Sun, Peter Tiño, Ata Kabán: Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17(3): 384-400 (2005)
- [c12]
- [c11]Ata Kabán: A Scalable Generative Topographic Mapping for Sparse Data Sequences. ITCC (1) 2005: 51-56
- [c10]Ata Kabán, Louisa Nolan, Somak Raychaudhury: Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. SDM 2005
- 2004
- [c9]Peter Tiño, Ata Kabán, Yi Sun: A generative probabilistic approach to visualizing sets of symbolic sequences. KDD 2004: 701-706
- [c8]Ata Kabán, Ella Bingham, T. Hirsimäki: Learning to Read Between the Lines: The Aspect Bernoulli Model. SDM 2004
- [e1]Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel (Eds.): Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings. Lecture Notes in Computer Science 3242, Springer 2004, ISBN 3-540-23092-0
- 2003
- [j5]Ella Bingham, Ata Kabán, Mark Girolami: Topic Identification in Dynamical Text by Complexity Pursuit. Neural Processing Letters 17(1): 69-83 (2003)
- [c7]Alexander N. Dolia, Martin Lages, Ata Kabán: An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. KES 2003: 570-577
- [c6]Mark Girolami, Ata Kabán: Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS 2003
- [c5]
- 2002
- [j4]Ata Kabán, Mark Girolami: A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. J. Intell. Inf. Syst. 18(2-3): 107-125 (2002)
- [j3]Ata Kabán, Mark Girolami: Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. Neural Processing Letters 15(1): 31-43 (2002)
- [c4]Ata Kabán, Peter Tiño, Mark Girolami: A General Framework for a Principled Hierarchical Visualization of Multivariate Data. IDEAL 2002: 518-523
- 2001
- [j2]András Lörincz, Botond Szatmáry, Ata Kabán: Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. Neurocomputing 38-40: 1437-1442 (2001)
- [j1]Ata Kabán, Mark Girolami: A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 859-872 (2001)
- [c3]Ella Bingham, Ata Kabán, Mark Girolami: Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001
- 2000
- [c2]Mark Girolami, Alexei Vinokourov, Ata Kabán: The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000: 558-564
- [c1]Ata Kabán, Mark Girolami: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000: 2744-2747
Coauthor Index
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last updated on 2013-04-12 20:31 CEST by the dblp team